Seedance 2.0 API is Now Fully Open, Allowing Both Individuals and Enterprises to Call Its Video Generation Capabilities
2026-04-14 14:49
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en.Wedoany.com Reported - On April 14, 2026, Volcano Engine announced the official launch of the Seedance 2.0 series API services. This move signifies that the API access for this multimodal video generation large model, under ByteDance, is now officially open to a broader developer community, including enterprise-verified entities and individual users. Individual users are no longer excluded from the application scope. Users can integrate this model into their own workflows via the API to reshape product forms and explore new application scenarios.

According to official information from Volcano Engine, Seedance 2.0 supports four modal inputs: text, images, audio, and video, providing developers with rich creative methods. Technically, Seedance 2.0 is based on an innovative Dual-Branch Diffusion Transformer (DB-DiT) architecture, which enables visual and audio signals to be processed in parallel within the same generation pipeline, natively achieving "audio-visual synchronization" without relying on post-production synthesis. Furthermore, the model utilizes Latent Consistency Model (LCM) acceleration technology, significantly reducing inference time while maintaining high-quality output.

The full opening of this API is accompanied by a clear pricing strategy. According to previously announced billing standards, the pricing for Seedance 2.0 includes 28 yuan per million tokens for scenarios with video input (video editing) and 46 yuan per million tokens for scenarios without video input (pure video generation). Based on this standard, generating a 15-second video consumes approximately 308,880 tokens, translating to a cost of about 1 yuan per second.

While commercializing rapidly, Volcano Engine has also established copyright and portrait safety standards for Seedance 2.0. Official introductions state that this safety mechanism covers all modalities involved in video generation and the entire process before and after creation. It is designed to detect and defend against potential copyright infringement and deepfake content, protecting the legitimate rights and interests of copyright holders and creators.

Previously, due to limited computing power during the internal testing phase, the model sparked a phenomenon of "rushing for computing power in the early morning" within the AI video creation community, with the queue number once exceeding 100,000. This full opening of API services is expected to alleviate the supply-demand tension for computing power, transforming AI video generation technology from a "privilege" of a few top players into a more inclusive productivity tool, pushing the entire industry into the era of "production-grade" applications.

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